My Favorite Books on Signal Processing (Top 15)
2008/// Filed in: Reading and Books
The list below includes some of the authors and corresponding books that have influenced me the most in the field of signal processing. The list I provide consist of my top 15 selection. I hope to have time to do a more detailed review of each of them someday in the future:
-Digital Signal Processing, Proakis (DSP Fudamentals)
-Introduction to Linear Algebra, Strang (Math Basics for SSP)
-Intuitive Probability and Random Processes using MATLAB, Kay (Math Basics for SSP)
-Statistical Digital Signal Processing and Modeling, Hayes (Statistical SP)
-Statistical and Adaptive Signal Processing, Manolakis (Statistical SP)
-Applied Optimal Estimation, Gelb (Kalman Filters)
-Linear Estimation, Kailath/Sayed (Kalman Fitlers)
-Statistical Signal Processing, Kay (Linear Estimation)
-Adaptive Filter Theory, Haykin (Adaptive Filtering)
-Adaptive Signal Processing, Widrow (Adaptive Filtering)
-Fundamentals of Adaptive Filtering, Sayed (Adaptive Filtering)
-Spectral Analysis of Signal, Stoica (Spectrum Estimation)
-Digital Spectral Analysis with Applications, Marple (Spectrum Estimation)
-An Introduction to the Bootstrap, Efron (Adaptive Filtering)
-Bootstrap Techniques for Signal Processing, Zoubir (Bootrap)
Of these, the most influencial books for my research have been Statistical Digital Signal Processing by Hayes and Linear Estimation by Kailath.
-Digital Signal Processing, Proakis (DSP Fudamentals)
-Introduction to Linear Algebra, Strang (Math Basics for SSP)
-Intuitive Probability and Random Processes using MATLAB, Kay (Math Basics for SSP)
-Statistical Digital Signal Processing and Modeling, Hayes (Statistical SP)
-Statistical and Adaptive Signal Processing, Manolakis (Statistical SP)
-Applied Optimal Estimation, Gelb (Kalman Filters)
-Linear Estimation, Kailath/Sayed (Kalman Fitlers)
-Statistical Signal Processing, Kay (Linear Estimation)
-Adaptive Filter Theory, Haykin (Adaptive Filtering)
-Adaptive Signal Processing, Widrow (Adaptive Filtering)
-Fundamentals of Adaptive Filtering, Sayed (Adaptive Filtering)
-Spectral Analysis of Signal, Stoica (Spectrum Estimation)
-Digital Spectral Analysis with Applications, Marple (Spectrum Estimation)
-An Introduction to the Bootstrap, Efron (Adaptive Filtering)
-Bootstrap Techniques for Signal Processing, Zoubir (Bootrap)
Of these, the most influencial books for my research have been Statistical Digital Signal Processing by Hayes and Linear Estimation by Kailath.